Networking and Internet Architecture · Computer Science
GeoPipe: a Geo-distributed LLM Training Framework with enhanced Pipeline Parallelism in a Lossless RDMA-enabled Datacenter Optical Transport Network
Jun Dai, Xiaorun Wang, Kexiong Fang, Zheng Yang +2
2026-02-27
Networking and Internet Architecture · Computer Science
Increasing Information-Carrying Capacity by Exploiting Diverse Traffic Characteristics in Multi-Band Optical Networks
Ramanuja Kalkunte, Forough Shirin Abkenar, Sifat Ferdousi, Rana Kumar Jana +4
2024-09-24
Distributed, Parallel, and Cluster Computing · Computer Science
Communication-Computation Pipeline Parallel Split Learning over Wireless Edge Networks
Chenyu Liu, Zhaoyang Zhang, Zirui Chen, Zhaohui Yang
2025-12-01
Machine Learning · Computer Science
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia +1
2023-08-15
Distributed, Parallel, and Cluster Computing · Computer Science
Bandwidth-Aware and Cost-Efficient Pipeline Parallel Scheduling in Geo-Distributed LLM Training
Han Zhang, Jianchun Liu, Hongli Xu
2026-05-26
Distributed, Parallel, and Cluster Computing · Computer Science
CrossPipe: Towards Optimal Pipeline Schedules for Cross-Datacenter Training
Tiancheng Chen, Ales Kubicek, Langwen Huang, Torsten Hoefler
2025-07-02
Machine Learning · Computer Science
C2:Cross learning module enhanced decision transformer with Constraint-aware loss for auto-bidding
Jinren Ding, Xuejian Xu, Shen Jiang, Zhitong Hao +2
2026-01-30
Machine Learning · Computer Science
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective
Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia +2
2024-08-27
Distributed, Parallel, and Cluster Computing · Computer Science
Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation
Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang +7
2025-04-29
Signal Processing · Electrical Eng. & Systems
Beam Scheduling for Cross-Layer ISAC: A Deep Reinforcement Learning Approach
Xiyu Wang, Gilberto Berardinelli, Hei Victor Cheng, Petar Popovski +1
2026-04-28
Machine Learning · Computer Science
Partial Parameter Updates for Efficient Distributed Training
Anastasiia Filippova, Angelos Katharopoulos, David Grangier, Ronan Collobert
2025-09-29
Systems and Control · Electrical Eng. & Systems
Joint Communication Scheduling and Resource Allocation for Distributed Edge Learning: Seamless Integration in Next-Generation Wireless Networks
Paul Zheng, Navid Keshtiarast, Pradyumna Kumar Bishoyi, Yao Zhu +3
2026-01-15
Distributed, Parallel, and Cluster Computing · Computer Science
Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation
Ying Zhu, Yang Xu, Hongli Xu, Yunming Liao +2
2025-04-25
Distributed, Parallel, and Cluster Computing · Computer Science
Distributed Training under Packet Loss
Erez Weintraub, Ron Banner, Ariel Orda
2025-07-11
Distributed, Parallel, and Cluster Computing · Computer Science
Communication-Efficient Distributed Deep Learning: A Comprehensive Survey
Zhenheng Tang, Shaohuai Shi, Wei Wang, Bo Li +1
2023-09-04
Information Theory · Computer Science
Collaborative Edge Learning in MIMO-NOMA Uplink Transmission Environment
Mian Guo, Chun Shan, Mithun Mukherjee, Jaime Lloret +1
2021-06-29
Computation and Language · Computer Science
Continual Learning in Task-Oriented Dialogue Systems
Andrea Madotto, Zhaojiang Lin, Zhenpeng Zhou, Seungwhan Moon +5
2021-01-01
Computation and Language · Computer Science
Translating Under Pressure: Domain-Aware LLMs for Crisis Communication
Antonio Castaldo, Maria Carmen Staiano, Johanna Monti, Sheila Castilho +1
2026-04-30
Information Retrieval · Computer Science
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
Wenyu Zhang, Jie Luo, Xinming Zhang, Yuan Fang
2025-02-24
Machine Learning · Computer Science
OptINC: Optical In-Network-Computing for Scalable Distributed Learning
Sijie Fei, Grace Li Zhang, Bing Li, Ulf Schlichtmann
2026-03-31